Gamaya

Gamaya is a Swiss company which provides drones equipped with hyper-spectral cameras for use in agriculture.[1][2]

Gamaya
IndustryFarming technology
Founded2015
FounderDragos Constantin, Igor Ivanov and Yosef Akhtman
HeadquartersMorges, Switzerland
Key people
Mathieu Hagen (CEO)
ServicesHyperspectral cameras, precision faming
Websitewww.gamaya.com

The company has 35 employees and is located in Morges, Switzerland.[3] Mathieu Hagen is the current company CEO.[4]

History

Gamaya was founded in 2015 as an EPFL laboratory spinoff by co-founders Dragos Constantin, Igor Ivanov and Yosef Akhtman.[5]

In 2016, the company raised an investment round of $3.2 million from the Sandoz Family Foundation, Peter Brabeck-Letmathe, Seed4Equity, and VI Partners.[6]

In 2017, Gamaya received the Swiss Economic Forum Hightech award[7][8] as well as the Nvidia Inception award.[9]

In 2019, the company raised a second round of investment of CHF 12 million, led by Mahindra & Mahindra.[10][11]

Hyperspectral camera technology

Gamaya's hyperspectral camera technology was developed between 2013 and 2015 through the EPFL Leman-Baikal project.[12] It captures 40 different bands of light.[2] Hyperspectral images shot with a drone are then used to generate a survey of the land.[13] The data can be used for detecting invasive species and crop diseases, predicting yields, or for optimising soil treatment and fertilisation.[9]

Gamaya's cameras have been used in a few scientific studies as part of data collection for hyperspectral survey of agricultural crops.[14][15][16]

References
  1. Fehrenbacher, Katie (2016-05-23). "This Startup Is Changing Farming With Drones and AI". Fortune. Retrieved 2020-07-01.
  2. O'Dea, Clare (2020-04-22). "How Swiss technology is changing farming". SWI swissinfo.ch. Retrieved 2020-07-03.
  3. Thoele, Alexander (2019-07-04). "Une start-up suisse développe des caméras qui «parlent» aux plantes" [A Swiss startup develops cameras which "talk" to plants]. SWI swissinfo.ch (in French). Retrieved 2020-07-03.
  4. "Mathieu Hagen nommé CEO de Gamaya". Agefi (in French). 2020-02-12. Retrieved 2020-07-01.
  5. Zaki, Myret (2017-05-05). "Drones et agriculture: Gamaya remporte le Prix Strategis 2017" [Drones and agriculture: Gamaya wins the Strategis Award]. Bilan (in French). Retrieved 2020-07-01.
  6. "Nestle Chairman Commits to $3.2m Series A for Hyperspectral Drone Imagery Company Gamaya". AgFunderNews. 2016-05-25. Retrieved 2020-07-03.
  7. kaczor, Piotr (2017-06-06). "Deux lauréats romands et un zurichois primés". Agefi (in French). Retrieved 2020-07-01.
  8. Zeitung, Jungfrau (2017-06-02). "Die besten Jungunternehmen der Schweiz stehen fest". Jungfrau Zeitung (in German). Retrieved 2020-07-03.
  9. Ohr, Thomas (2017-10-11). "Meet Gamaya: The farmland analytics startup that just won the Inception Awards at GTC Europe". EU-Startups. Retrieved 2020-07-03.
  10. Ohr, Thomas (2019-07-19). "Swiss AgTech startup Gamaya raises about €10.9 million Series B funding to expand crop intelligence solutions". EU-Startups. Retrieved 2020-07-03.
  11. Gaur, Vatsala (2019-06-14). "M&M picks up 11.25% in Swiss Agri-tech firm Gamaya". The Economic Times. Retrieved 2020-07-03.
  12. "Leman-Baikal Project". EPFL. Retrieved 2020-07-03.
  13. Kite-Powell, Jennifer (2015-08-24). "Sensors, Insects, Drones And Sustainable Nitrogen Define Innovation In European AgTech Start Ups". Forbes. Retrieved 2020-07-03.
  14. Danilov, Roman; Zelensky, Roman; Ponomarev, Artyom; Ivanisova, Mariya; Gasiyan, Kseniya (2020). "Development of precision methods for remote monitoring of weeds". BIO Web of Conferences. 21: 00003. doi:10.1051/bioconf/20202100003. ISSN 2117-4458.
  15. Akhtman, Y.; Golubeva, E.; Tutubalina, O.; Zimin, M. (2017-12-29). "Application of hyperspectral images and ground data for precision farming". GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY. Retrieved 2020-07-01.
  16. Förster, Michael; Schmidt, Tobias; Wolf, Roman; Kleinschmit, Birgit; Fassnacht, Fabian E.; Cabezas, Julián; Kattenborn, Teja (2017-06-01). "Detecting the spread of invasive species in central Chile with a Sentinel-2 time-series". 2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp): 1–4. doi:10.1109/Multi-Temp.2017.8035216.
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